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Hello all, I am testing the code of the FLightR package and I run into an error when checking for outliers. When running Outliers<-detect.tsoutliers(Calibration, Proc.data, plot=T, Threads=Threads, max.outlier.proportion=0.075, simple.version=F) where Calibration is the object I've generated with the create.calibration() function Proc.data is the output of process.twilights() and the rest of the parameters are set as in the example workflow in GitHub I get the following: making cluster estimating dusk errors projection on equator estimating dawn errors projection on equator reestimating dusk errors projection on equator detecting outliers Error in arima(.Lons.ts, order = c(1, 1, 0)) : non-stationary AR part from CSS And I've got absolutely no idea of what's going wrong. I've tried with a calibration period of just a few days (7) and also with a calibration period that is the entire breeding season, but both crash at the same point. I'm trying to replicate the "Intigeo tag on a Bar tailed godwit analysis example" workflow with version 0.3.6 in an R version 3.3.1 Any help would be much appreciated, thanks! Virginia